Clustering Food Security Levels based on Population, Area of Harvested Land, and Disaster Risk Index in Indonesia
Main Article Content
Ignatius Alvin Krisnugraha
Kgs Muhammad Benyamin Azhary
Problems threatening food security are reduced agricultural land and decreased production caused by climate change. In 2 years, the rice harvested area in Indonesia has decreased by around 6.33%. This research aims to know how food security is in Indonesia.The secondary data is then processed using the Microsoft Excel application and analyzed using Machine Learning in Rstudio. Several variables were examined, Population, Area of Harvested Land, Productivity of Rice Commodity, and Level of Disaster Risk. Based on the literature, a food security ratio is calculated to get the index that will explain the deficit or surplus of food availability.This research shows that the model has an accuracy rate of 93.4%. Strengthening the results given by the elbow method, the gap statistical method ensures that the optimal number of clusters recommended by machine learning is k2, so the next process is to group districts/cities into 2 (two) clusters.a model can be formed that can be used to predict the condition of food security fairly accurately (accuracy level 90%). Cities in Indonesia when clustered based on this research can optimally be divided into two clusters which show the deficit and surplus of food.
Agricultural Research and Development Agency, Ministry of Agriculture. (2005). Prospek dan Arah Pengembangan Agribisnis Padi. 1-10.
Data Center for Agricultural and Information Systems, Ministry of Agriculture. (2020). Statistik Lahan Pertanian Tahun 2015-2019. Jakarta: Pusat Data dan Sistem Informasi Pertanian, Sekretariat Jenderal - Kementerian Pertanian.
Denis, D. J. (2020). Univariate, Bivariate, and Multivariate Statistics Using R. John Wiley & Sons, Inc.
Directorate of Food Crops, Horticulture and Urban Statistics, Ministry of Agriculture. (2022). Luas Panen dan Produksi Padi di Indonesia 2021. Jakarta: Badan Pusat Statistik.
Government of the Republic of Indonesia. (2012). Undang-Undang Republik Indonesia Nomor 18 Tahun 2012 tentang Pangan.
Hapsari, N., & Rudiarto, I. (2017). Faktor-Faktor yang Mempengaruhi Kerawanan dan Ketahanan Pangan dan Implikasi Kebijakannya di Kabupaten Rembang. Jurnal Wilayah dan Lingkungan, 125-140.
Ministry of Agriculture's Food Security Agency. (2020). Panduan Penyusunan Peta Ketahanan dan Kerentanan Pangan (Food Security and Vulnerability ATLAS/FSVA) Provinsi 2020. Jakarta: Ministry of Agriculture's Food Security Agency.
Muryono, S., & Utami, W. (2020). Pemetaan Potensi Lahan Pertanian Pangan Berkelanjutan Guna Mendukung Ketahanan Pangan. Jurnal Agraria dan Pertanahan, 6, 201-218.
Tambunan, N. ., Aprilia, S. ., & Pangesti Rahayu, N. . (2022). Study Literature: Dampak Kenaikan Bbm Bagi Perekonomian Rakyat. Sibatik Journal: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan, 2(1), 329–336. https://doi.org/10.54443/sibatik.v2i1.550
Zafira, A. ., Kustiawati, D. ., Fajria Putri Noor, J. ., & Farhan Sopyan, M. . (2022). Library Research: Elastisitas Penawaran Terhadap Beberapa Bahan Pangan. Sibatik Journal: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan, 2(1), 115–120. https://doi.org/10.54443/sibatik.v2i1.506
